Article: Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data

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TitlePower of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data
AuthorsSham, PC1
Cherny, SS1 2
Purcell, S1
Hewitt, JK2
Issue Date2000
PublisherCell Press. The Journal's web site is located at http://www.cell.com/AJHG/
CitationAmerican Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1616-1630 [How to Cite?]
DOI: http://dx.doi.org/10.1086/302891
AbstractOptimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of the power of QTL linkage versus QTL association analysis, under a range of different conditions. In this article, we investigate the power of QTL linkage and association analyses for simple random sibship samples, under the variance-components model proposed by Fulker et al. After a brief description of an extension of this variance- components model, we show that the powers of both linkage and association analyses are crucially dependent on the proportion of phenotypic variance attributable to the QTL. The main difference between the two tests is that, whereas the power of association is directly related to the QTL heritability, the power of linkage is related more closely to the square of the QTL heritability. We also describe both how the power of linkage is attenuated by incomplete linkage and incomplete marker information and how the power of association is attenuated by incomplete linkage disequilibrium.
ISSN0002-9297
2011 Impact Factor: 10.603
2011 SCImago Journal Rankings: 2.479
DOIhttp://dx.doi.org/10.1086/302891
ISI Accession Number IDWOS:000088373700016
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorSham, PC
dc.contributor.authorCherny, SS
dc.contributor.authorPurcell, S
dc.contributor.authorHewitt, JK
dc.date.accessioned2011-12-16T08:09:34Z
dc.date.available2011-12-16T08:09:34Z
dc.date.issued2000
dc.description.abstractOptimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of the power of QTL linkage versus QTL association analysis, under a range of different conditions. In this article, we investigate the power of QTL linkage and association analyses for simple random sibship samples, under the variance-components model proposed by Fulker et al. After a brief description of an extension of this variance- components model, we show that the powers of both linkage and association analyses are crucially dependent on the proportion of phenotypic variance attributable to the QTL. The main difference between the two tests is that, whereas the power of association is directly related to the QTL heritability, the power of linkage is related more closely to the square of the QTL heritability. We also describe both how the power of linkage is attenuated by incomplete linkage and incomplete marker information and how the power of association is attenuated by incomplete linkage disequilibrium.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationAmerican Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1616-1630 [How to Cite?]
DOI: http://dx.doi.org/10.1086/302891
dc.identifier.doihttp://dx.doi.org/10.1086/302891
dc.identifier.epage1630
dc.identifier.isiWOS:000088373700016
dc.identifier.issn0002-9297
2011 Impact Factor: 10.603
2011 SCImago Journal Rankings: 2.479
dc.identifier.issue5
dc.identifier.pmid10762547
dc.identifier.scopuseid_2-s2.0-0033927466
dc.identifier.spage1616
dc.identifier.urihttp://hdl.handle.net/10722/143694
dc.identifier.volume66
dc.publisherCell Press. The Journal's web site is located at http://www.cell.com/AJHG/
dc.publisher.placeUnited States
dc.relation.ispartofAmerican Journal of Human Genetics
dc.relation.referencesReferences in Scopus
dc.titlePower of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data
dc.typeArticle
Author Affiliations
  1. King's College London
  2. University of Colorado at Boulder